SeedreamMCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| LOG_LEVEL | No | Logging level | INFO |
| ACEDATACLOUD_API_TOKEN | Yes | API token from AceDataCloud | |
| SEEDREAM_REQUEST_TIMEOUT | No | Request timeout in seconds | 1800 |
| ACEDATACLOUD_API_BASE_URL | No | API base URL | https://api.acedata.cloud |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| seedream_generate_imageA | Generate an AI image from a text prompt using ByteDance's Seedream model. |
| seedream_edit_imageA | Edit or modify existing images using ByteDance's Seedream/SeedEdit model. |
| seedream_decompose_imageA | Decompose one image into a base image and up to 16 editable transparent layers. |
| seedream_list_modelsA | List all available Seedream models with their capabilities and pricing. |
| seedream_list_sizesA | List all available image sizes and resolution options for Seedream. |
| seedream_get_taskA | Query the status and result of a Seedream image generation or edit task. |
| seedream_get_tasks_batchA | Query multiple Seedream image tasks at once. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| seedream_image_generation_guide | Guide for choosing the right Seedream tool for image tasks. |
| seedream_prompt_writing_guide | Guide for writing effective Seedream image generation prompts. |
| seedream_workflow_examples | Common workflow examples for Seedream image generation. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 7 tools
Each tool targets a clearly distinct operation: generate (text-to-image), edit (modify existing), decompose (split into layers), and the query/introspection tools. The single-vs-batch task querying pair (seedream_get_task vs seedream_get_tasks_batch) has an explicitly documented boundary, and list_models vs list_sizes cover different concerns.
Every tool follows a uniform seedream_ prefix plus a consistent verb_noun snake_case pattern (generate_image, edit_image, get_task, list_models). No mixing of conventions or casing styles.
Seven tools is well-scoped for an image generation service, with no redundant entries. Each tool maps to a distinct capability (three image operations, two query tools, two discovery tools).
Core lifecycle is covered: image creation, editing, decomposition, task status polling (single and batch), plus model and size discovery. Minor gaps exist around task management actions (e.g. cancel/delete task) and post-processing like upscaling, but the main workflows are fully supported.